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Read a raw dataset Always read data into one struct Separate columns (Excel) into fieldnames Include as much meta-info as possible in the struct Use English names Use SI units Use documentation: cells are block starting with % (~ chapters) Align

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Inspect a raw dataset Different types of raw data Different structs for time series. Hmm. >Waterbase >KNMI wind >KNMI meteo How to unify? No guidelines for structs International guidelines for netCDF! Idea: collaborate! Each BwN participant transforms raw data they use anyway into netCDF Everyone can readily access previously used data in a uniform manner raw data struct raw data file netCDF No standards available International standards available

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netCDF (1) Any amount of meta-data (Attributes) can be appended. Handles large datasets (file > 4GB allowed with in 64-bit offset mode). Scaleable for future applications (divide data over multiple files). Open source specifications and interfaces. Fast data storage and retrieval (direct access binary). Small data storage (binary is small + internal zip option). Simple yet robust. “ Following examination by 20 reviewers, NASA's Earth Science Data Systems Standards Process Group has concluded that netCDF classic should be adopted as a recommended standard. A major strength of netCDF classic, according to the reviewers, was that it has fostered data interoperability and exchange through its self-describing file format, platform independent architecture, and robust access methods. Additionally, its overall file format and metadata attributes were simple enough to be easily understood and applied yet robust enough to describe and store multidimensional data of different types in the same file” (source: Unidata news)Unidata news